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Automated Supersaturation Stability Assay to Differentiate Poorly Soluble Compounds in Drug Discovery

Skolnik, Suzanne and Geraci, Gina and Dodd, Stephanie (2017) Automated Supersaturation Stability Assay to Differentiate Poorly Soluble Compounds in Drug Discovery. Journal of Pharmaceutical Sciences. ISSN 1520-6017

Abstract

Increasingly, in vitro assays evaluate a compound's tendency to maintain supersaturation toward improving oral absorption. Throughput remains a challenge and only small sets of compounds are evaluated in reported studies. The present work describes an automated workflow and data analysis approach to determine supersaturation stability after 16 min. Eight increasing concentrations were targeted and supernatant concentration was measured following solvent shift in fasted-state simulated intestinal fluid. The effect of dimethyl sulfoxide both on equilibrium solubility and on induced supersaturation was addressed, whereas the change in concentration was evaluated over time. Our sample set included 24 commercial compounds, along with comparison to literature results. To demonstrate in vivo relevance of in vitro supersaturation, classification of supersaturation stability was proposed based on the target concentration achieved and the percentage of area under the curve dose proportionality in 42 preclinical and clinical studies. Eighty-one percent of low supersaturation stability compounds (target concentrations ≤50 μM) had proportionality <0.8, whereas 100% of high supersaturation stability compounds (target concentrations ≥200 μM) demonstrated proportionality ≥0.8. The robust, automated assay and its impact on dose proportionality downstream make this approach applicable in drug discovery where low-soluble compounds with otherwise attractive properties may be differentiated on the basis of supersaturation stability.

Item Type: Article
Keywords: Dose proportionality High-throughput technologies in vitro/in vivo correlations (IVIVC) Precipitation Solubility Supersaturation
Date Deposited: 25 Oct 2017 00:45
Last Modified: 25 Jan 2019 00:45
URI: https://oak.novartis.com/id/eprint/33014

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